2021/06/28 by Aaron Hendrickson, Hendrickson, Aaron
Biochemistry, Genetics and Molecular Biology · Engineering · Physics and Astronomy · #33C20 (Secondary) #62F10 #62P35 (Primary) 40G99 #Advanced Fluorescence Microscopy Techniques #Advanced Optical Sensing Technologies #CCD and CMOS Imaging Sensors #Classical Analysis and ODEs (math.CA) #FOS: Electrical engineering #FOS: Mathematics #Signal Processing (eess.SP) #Statistics Theory (math.ST) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2106.14958
openalex publication_date 2021/06/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Nonuniformities in the imaging characteristics of modern image sensors are a primary factor in the push to develop a pixel-level generalization of the photon transfer characterization method. In this paper, we seek to develop a body of theoretical results leading toward a comprehensive approach for tackling the biggest obstacle in the way of this goal: a means of pixel-level conversion gain estimation. This is accomplished by developing an estimator for the reciprocal-difference of normal variances and then using this to construct a novel estimator of the conversion gain. The first two moments of this estimator are derived and used to construct exact and approximate confidence intervals for its absolute relative bias and absolute coefficient of variation, respectively. A means of approximating and computing optimal sample sizes are also discussed and used to demonstrate the process of pixel-level conversion gain estimation for a real image sensor.